Engineering Manager, Core Applications – AI for Member Systems
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Lead a senior applied science and ML engineering team that builds foundational personalization capabilities used by multiple product teams
- Set the vision and roadmap for shared reward models, entity/metadata libraries, embedding utilities, and LLM post-training for personalization
- Prioritize horizontal investments that create leverage across recommendations, search, messaging, and emerging GenAI experiences
- Design and evolve APIs, abstractions, and integration patterns so downstream teams can adopt shared components while the Core team iterates on internals
- Extend and generalize reward models to new content types and surfaces
- Stand up and tune online utility modeling and optimization layers (e.g., bandits, policy learning, multi-objective optimization) that balance engagement and long-term member value
- Shape shared post-training and alignment utilities for member-facing LLMs (e.g., supervised fine-tuning, RLHF/RLAIF) used in ranking, discovery, search, and messaging
- Partner closely with AIMS foundations, product application teams, and ML platform/infra teams to ensure Core capabilities are aligned, integrated, and widely adopted
- Hire, develop, and retain a diverse, high-caliber team of ML engineers and applied scientists, fostering an environment where senior talent can do their best work.
- Requirements:
- 8+ years in applied ML/science or ML engineering, with 3+ years in a technical leadership or people management capacity
- Experience leading applied ML, ML engineering, or applied science teams working on large-scale personalization, ranking, marketplace optimization, or related decision systems
- Strong background in applied ML and recommender systems, including rewards, multi-objective optimization, and/or long-term value modeling
- Demonstrated success driving horizontal or platform-like ML efforts where impact is measured by adoption and leverage across multiple teams
- Proven ability to design and ship APIs, libraries, and reusable components that product teams can easily adopt and extend
- Strong communication and influence skills; able to align senior partners across engineering, science, and product
- Track record of building and leading diverse, high-performing technical teams in a fast-moving, high-autonomy environment.
- Benefits:
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off.